Google Pixel 10 Pro XL
Geekbench AI Score
394
Single Precision Score
858
Half Precision Score
3875
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 11:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 Pro XL |
| Model ID | Google Pixel 10 Pro XL |
| Motherboard | mustang |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.25 GHz |
| Cluster 1 | 2 Cores @ 2.25 GHz |
| Cluster 2 | 5 Cores @ 3.05 GHz |
| Cluster 3 | 1 Core @ 3.78 GHz |
| Memory Information | |
|---|---|
| Size | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
305
56.7 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.2 IPS |
|
|
Image Classification (Q)
|
99% |
3201
597.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
393
6.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
11578
188.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
340
0.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2617
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (Q)
|
87% |
2822
226.4 IPS |
|
|
Face Detection (SP)
|
100% |
535
6.35 IPS |
|
|
Face Detection (HP)
|
100% |
470
5.58 IPS |
|
|
Face Detection (Q)
|
97% |
26404
314.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
26588
204.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
29311
269.8 IPS |
|
|
Style Transfer (SP)
|
100% |
830
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
793
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3589
4.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9418
347.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13594
503.7 IPS |
|
|
Text Classification (SP)
|
100% |
368
491.4 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.5 IPS |
|
|
Text Classification (Q)
|
91% |
361
484.8 IPS |
|
|
Machine Translation (SP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
205
5.01 IPS |
